Principal-component analysis that incorporates information about measurement uncertainty to develop models that are optimal in a maximum likelihood sense.
Source: PAC, 2016, 88, 407. (Vocabulary of concepts and terms in chemometrics (IUPAC Recommendations 2016)) on page 421 [Terms] [Paper]